Sinkkonen A
University of Turku, Satakunta Environmental Research Institute, Konttorinkatu 1, Pori, Finland.
J Theor Biol. 2007 Jan 21;244(2):218-27. doi: 10.1016/j.jtbi.2006.08.003. Epub 2006 Aug 12.
An established method to separate resource competition from chemical interference is cultivation of monospecific, even-aged stands. The stands grow at several densities and they are exposed to homogenously spread toxins. Hence, the dose received by individual plants is inversely related to stand density. This results in distinguishable alterations in dose-response slopes. The method is often recommended in ecological studies of allelopathy. However, many plant species are known to release autotoxic compounds. Often, the probability of autotoxicity increases as sowing density increases. Despite this, the possibility of autotoxicity is ignored when experiments including monospecific stands are designed and when their results are evaluated. In this paper, I model mathematically how autotoxicity changes the outcome of dose-response slopes as different densities of monospecific stands are grown on homogenously phytotoxic substrata. Several ecologically reasonable relations between plant density and autotoxin exposure are considered over a range of parameter values, and similarities between different relations are searched for. The models indicate that autotoxicity affects the outcome of density-dependent dose-response experiments. Autotoxicity seems to abolish the effects of other phytochemicals in certain cases, while it may augment them in other cases. Autotoxicity may alter the outcome of tests using the method of monospecific stands even if the dose of autotoxic compounds per plant is a fraction of the dose of non-autotoxic phytochemicals with similar allelopathic potential. Data from the literature support these conclusions. A faulty null hypothesis may be accepted if the autotoxic potential of a test species is overlooked in density-response experiments. On the contrary, if test species are known to be non-autotoxic, the method of monospecific stands does not need fine-tuning. The results also suggest that the possibility of autotoxicity should be investigated in many density-response bioassays that are made with even-aged plants, and that measure plant growth or germination.
一种将资源竞争与化学干扰区分开来的既定方法是培育单物种、同龄林分。这些林分以几种密度生长,并暴露于均匀分布的毒素中。因此,单个植物接收到的剂量与林分密度成反比。这导致剂量-反应斜率出现明显变化。该方法在化感作用的生态学研究中经常被推荐。然而,许多植物物种已知会释放自毒化合物。通常,自毒作用的可能性会随着播种密度的增加而增加。尽管如此,在设计包含单物种林分的实验以及评估其结果时,自毒作用的可能性被忽略了。在本文中,我通过数学建模来研究当在均匀的植物毒性基质上种植不同密度的单物种林分时,自毒作用如何改变剂量-反应斜率的结果。在一系列参数值范围内考虑了植物密度与自毒素暴露之间几种符合生态学原理的关系,并寻找不同关系之间的相似性。模型表明自毒作用会影响密度依赖性剂量-反应实验的结果。在某些情况下,自毒作用似乎会消除其他植物化学物质的影响,而在其他情况下可能会增强它们的影响。即使每株植物的自毒化合物剂量只是具有相似化感潜力的非自毒植物化学物质剂量的一小部分,自毒作用也可能改变使用单物种林分方法进行的测试结果。文献数据支持这些结论。如果在密度-反应实验中忽略了受试物种的自毒潜力,可能会接受错误的零假设。相反,如果已知受试物种无自毒作用,则单物种林分方法无需微调。结果还表明,在许多使用同龄植物进行的、测量植物生长或发芽的密度-反应生物测定中,应研究自毒作用的可能性。